| Title | : | Applied Machine Learning for Human–AI Interaction: From Brain Signals to Speech Intelligence |
| Speaker | : | Rini Sharon (Uniphore) |
| Details | : | Mon, 10 Nov, 2025 11:00 AM @ SSB 233 |
| Abstract: | : | This talk explores machine learning methods that bridge human cognitive signals and machine understanding. It covers my work on decoding speech and EEG to recognize imagined speech through multi-phasal modeling, improving decoding speed and generalizability in brain–computer interfaces. The second half extends into building scalable, multilingual speech systems, including but not limited to adaptive ASR, multimodal abuse detection, semantic endpointing in real-world conversational settings. |
